Min Cheol Chang

Added Value of One-Month Clinical Data in Predicting Chronic-Stage Motor Function After Ischemic Stroke

Background/Objectives: This study aimed to develop machine learning models—specifically logistic regression (LR), random forest (RF), and deep neural network (DNN) models—using initial and 1-month post-stroke clinical data to predict 6-month upper and lower extremity motor functional outcomes in patients with ischemic...